Main Themes

MAİN THEMES;
1. Artificial Intelligence Applications and Disease Diagnosis
a. Analysis of radiology images, MR, CT, and PET scans
b. Pathology examinations and histopathological analyses
c. Evaluation of laboratory test results
d. Treatment Planning and Personalized Medicine
e. Patient-specific treatment protocols
2. Genetic Profile Analysis and Treatment Selection
3. Artificial Intelligence Applications and Drug Development
a. Drug and treatment selection
b. Drug Development and New Therapies
c. Identification and discovery of drug candidates
d. Prediction of drug efficacy
4. Patient Monitoring and Care, Continuous Monitoring of Health Data, Tracking Patient Status and Detecting Abnormal Conditions with Artificial Intelligence
5. Artificial Intelligence in Remote Health Services
6. Artificial Intelligence Applications and Patient Follow-up
7. Continuous Monitoring of Health Data and Detection of Abnormal Conditions
8. Artificial Intelligence-assisted Remote Monitoring of Patients
9. Artificial Intelligence in Health Services and Management
10. Artificial Intelligence in Clinical Diagnosis Methods
11. Artificial Intelligence in Bioinformatics Studies
12. Artificial Intelligence Applications in Laboratories
13. Smart Health Applications in Mobile Technologies
14. Artificial Intelligence Applications in Electronic Health Data
15. Robotic Technologies and Artificial Intelligence
16. Futuristic Approaches in Health
17. Artificial Intelligence Applications in Radiology
18. Artificial Intelligence from the Perspective of Healthcare Service Consumers
19. Use of Artificial Intelligence in Health Education
20. Health Technologies and Intersectoral Artificial Intelligence
21. Artificial Intelligence in Healthy Nutrition
22. Artificial Intelligence in Public Health
23. Use of Artificial Intelligence in Health and Ethical Issues
24. Personal Data Protection Law and GDPR
25. Artificial Intelligence and Health Policies
26. Artificial Intelligence in E-Health Applications (E-Nabız)
27. Artificial Intelligence in Dentistry
28. Blockchain Applications
29. Cybersecurity
30. Information Security and Data Privacy
31. Security of Sensitive Health Data
32. Prevention of Data Leaks and Unauthorized Access
33. Data Manipulation and Incorrect Results
34. Dangers of Data-Based Learning
35. Effects of Data Manipulation and Prevention
36. Ethical Issues and Artificial Intelligence
37. Accuracy and Reliability Issues
38. Patient Information and Consent Processes
39. Data Security in Big Data and Personal Data Sharing
40. Telehealth / E-health
41. What is Big Data, Its Impact on the Health Sector, Ensuring Big Data Security
42. Fighting Malware in Corporate Networks and the Threats Posed by Successful Malware Attacks
43. Data Privacy and Security
44. Health Information Tools, Emerging Health IT Technologies
45. Wearable Health IT Systems
46. Geographic Health Information Systems (GIS)
47. Privacy in Health Informatics and Clinical Applications
48. Health Informatics and Patient Safety
49. Informatics in Health Research and Clinical Research
50. Widely Used Health IT Technologies in Health Services
51. Information Security, Privacy, Compliance, Accountability, and Integration
52. Common Uses of Informatics in Clinics to Prevent Patient Safety Issues (Electronic Order Systems, Clinical Decision Support Systems)
53. Health Informatics, Quality, and Accreditation
54. Trends in Health Information
55. Data Integration in Health and Its Side Effects
56. The Role of Health Informatics in Chronic Disease Management
57. The Future of Health Informatics
58. Health Information and Medical Technology
59. Health Information Systems Technologies and Techniques